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Information
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- Publication Type: Journal Paper with Conference Talk
- Date (from): October 11
- Date (to): October 16
- Event: IEEE Visualization 2009
- Lecturer: Stefan Bruckner
- Location: Atlantic City, New Jersey, USA
- Keywords: biomedical visualization, neurobiology, visual queries, volume visualization
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Abstract
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Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as the common fruit fly Drosophila melanogaster, have proven to be an important tool in this research. Large databases of transgenic specimens are being built and need to be analyzed to establish models of neural information processing. In this paper we present an approach for the exploration and analysis of neural circuits based on such a database. We have designed and implemented BrainGazer, a system which integrates visualization techniques for volume data acquired through confocal microscopy as well as annotated anatomical structures with an intuitive approach for accessing the available information. We focus on the ability to visually query the data based on semantic as well as spatial relationships. Additionally, we present visualization techniques for the concurrent depiction of neurobiological volume data and geometric objects which aim to reduce visual clutter. The described system is the result of an ongoing interdisciplinary collaboration between neurobiologists and visualization researchers.
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Additional Files and Images
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Additional images and videos:
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Video: Video demonstration of the BrainGazer system (DivX codec) |
Additional files:
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BibTeX
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Download BibTeX-Entry
@article\{bruckner-2009-BVQ,
title = "BrainGazer - Visual Queries for Neurobiology Research",
author = "Stefan Bruckner and Veronika {\v S}olt{\' e}szov{\'a}
and Meister Eduard Gr{\"o}ller and Ji{\v r}{\' i}
Hlad{\r u}vka and Katja B{\"u}hler and Jai Yu and Barry
Dickson",
year = "2009",
abstract = "Neurobiology investigates how anatomical and physiological
relationships in the nervous system mediate behavior.
Molecular genetic techniques, applied to species such as the
common fruit fly Drosophila melanogaster, have proven to be
an important tool in this research. Large databases of
transgenic specimens are being built and need to be analyzed
to establish models of neural information processing. In
this paper we present an approach for the exploration and
analysis of neural circuits based on such a database. We
have designed and implemented BrainGazer, a system which
integrates visualization techniques for volume data acquired
through confocal microscopy as well as annotated anatomical
structures with an intuitive approach for accessing the
available information. We focus on the ability to visually
query the data based on semantic as well as spatial
relationships. Additionally, we present visualization
techniques for the concurrent depiction of neurobiological
volume data and geometric objects which aim to reduce visual
clutter. The described system is the result of an ongoing
interdisciplinary collaboration between neurobiologists and
visualization researchers.",
pages = "1497--1504",
month = nov,
number = "6",
event = "IEEE Visualization 2009",
journal = "IEEE Transactions on Visualization and Computer Graphics",
volume = "15",
location = "Atlantic City, New Jersey, USA",
keywords = "biomedical visualization, neurobiology, visual queries,
volume visualization",
URL = "http://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/",
}
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